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Showing 9 jobs
Skills:
Pyspark, Tensorflow, Pytorch, Celery, Microsoft Azure, Python, Apache Spark, AI ML, Sql, MLops, Databricks, FastAPI, Rest Apis, Azure Machine Learning, Hugging Face Transformers, chunking strategies, vector databases, Azure AI Foundry, data embedding techniques, Azure AI Search, Keycloak, Generative AI, LLMOps, Azure OpenAI Service
Skills:
snowflake , Metadata Management, Google Cloud Platform, Data Quality, MLops, Databricks, Microsoft Azure, Data Governance, AWS, GenAI, LLMs, AI Agents, AI governance frameworks, cloud-native architecture patterns, Analytics, Enterprise Data Platforms, Synapse, DataOps, MDM, Microsoft Fabric, AI solutions, RAG architectures
Skills:
data engineering , bedrock , Tensorflow, Pytorch, MLops, Python, AWS, generative AI, Hugging Face Transformers, SageMaker, Large Language Model, AI Architect, Retrieval Augmented Generation
Skills:
snowflake , Terraform, Docker, Python, Sql, Devops, Git, MLops, Spark, AWS CloudFormation, Databricks, Azure, Kubernetes, AI Architecture, Hugging Face, MLflow, Pinecone, Azure OpenAI, GCP Vertex AI, ChromaDB, LangChain, Generative AI, LLMOps, Synapse, Agentic AI, AWS SageMaker, Azure AI, OpenAI
Skills:
MLops, Docker, Flask, System Design, FastAPI, Kubernetes, Python, Api Development, Generative AI, Agentic AI
Skills:
data engineering , Tensorflow, Pytorch, Cloud Architecture, Distributed Systems, Azure, Kubernetes, caching layer, embeddings, Airflow, vector databases, MLflow, platform engineering, LLM RAG patterns, prompt engineering, ML AI engineering, Kubeflow, MLOps tools, KServe, ML frameworks
Skills:
Cloud-Native Mastery, systems thinking, Programming Depth, Responsible AI, Prototype to Production, MLOps Scale, AI ML Expertise
Skills:
data engineering , linear models , Ml, Nlp, Computer Vision, Gcp, MLops, Data Science, Azure, AWS, agentic AI, LLMs, LLMOps, cloud-native architecture, Ai, tree-based methods, reinforcement learning, graph ML, DataOps, Temporal, stochastic processes
Skills:
Networking, Microservices, Cloud Storage, Terraform, Python, Java, BigQuery, cloud security, Api Integration, MLops, DevSecOps, Compute Engine, Iam, DataFlow, Kubernetes, CI CD, Pub Sub, Cloud Run, Vertex AI, GCP services, Google Professional Cloud Architect certification, Generative AI, GKE, multi-cloud environments, FinOps, cloud-native architecture, RAG, Gemini
